Title :
RBIR based on signature graph
Author :
Thanh The Van ; Thanh Manh Le
Author_Institution :
Center for Inf. Technol., HCMC Univ. of Food Ind., Ho Chi Minh CIty, Vietnam
Abstract :
This paper approaches the image retrieval system on the base of visual features local region RBIR (region-based image retrieval). First of all, the paper presents a method for extracting the interest points based on Harris-Laplace to create the feature region of the image. Next, in order to reduce the storage space and speed up query image, the paper builds the binary signature structure to describe the visual content of image. Based on the image´s binary signature, the paper builds the SG (signature graph) to classify and store image´s binary signatures. Since then, the paper builds the image retrieval algorithm on SG through the similar measure EMD (earth mover´s distance) between the image´s binary signatures. Last but not least, the paper gives an image retrieval model RBIR, experiments and assesses the image retrieval method on Corel image database over 10,000 images.
Keywords :
Laplace transforms; feature extraction; graph theory; image classification; image retrieval; Corel image database; EMD measure; Harris-Laplace transform; RBIR; binary signature structure; earth movers distance measure; image classification; image feature region; image retrieval algorithm; image retrieval system; image visual content; interest points extraction; query image; region-based image retrieval; signature graph; visual features; Color; Feature extraction; Histograms; Image color analysis; Image retrieval; Vectors; Visualization; Binary Signature; Image Retrieval; Signature Graph;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2353-3
DOI :
10.1109/ICCCI.2014.6921760